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Acetaminophen overdose reveals protease activated receptor 4 as a low expressing but potent receptor on the hepatic endothelium in mice

GSE266395 Mus musculus (mouse) RNA-seq (gene expression) 48 samples Submitted 2024/06/10 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 48 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
48 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Acetaminophen Overdose Reveals PAR4 as a Low-Expressing but Potent Receptor on the Hepatic Endothelium in MiceArteriosclerosis, thrombosis, and vascular biology · 2025
Summary (written by the submitters)
There is a paucity of data on how protease-activated receptors (PARs) regulate transcriptional reprogramming. We sought to determine how the expression of two members of the PAR family (PAR1 and PAR4) on hepatic endothelial cells (ECs) influence transcription in the liver after acetaminophen (APAP) overdose. We combined EC-specific translating ribosome affinity purification with next-generation sequencing (EC-TRAPseq) in endothelial-specific Par1 and Par4 knockout mice.
Read the full summary ↓
This allowed us to gain an in vivo snapshot of how EC gene expression profiles change with APAP overdose and how the loss of endothelial PARs impacts transcriptional reprogramming in hepatic ECs. This approach also provided a high degree of sensitivity for detecting low-expressing transcripts. We found distinct transcriptional changes in APAP-overdosed ECs between endothelial Par1 and Par4 knockout mice.
Published in
Acetaminophen Overdose Reveals PAR4 as a Low-Expressing but Potent Receptor on the Hepatic Endothelium in Mice
Rajala R, Cleuren ACA, Griffin CT · Arteriosclerosis, thrombosis, and vascular biology 2025 · PMID 39360412 · doi:10.1161/ATVBAHA.124.321353
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE266395_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1106897 and SRA study SRP505256. Searching any of these in the dataset finder brings you back here.

Samples in this study

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